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Joel Bottin-Noonan

dblp:304/4174 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 50% Accessibility and assistive technology · 50%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › wearable robotics › exoskeleton
exoskeleton design
0.512021
Model based evaluation of human and lower-limb exoskeleton interaction during sit to stand motion · ICRA 2021
Human-robot interaction
assistive robotics
0.512021
Model based evaluation of human and lower-limb exoskeleton interaction during sit to stand motion · ICRA 2021
Accessibility and assistive technology › assistive technology
lower limb exoskeleton
0.512021
Model based evaluation of human and lower-limb exoskeleton interaction during sit to stand motion · ICRA 2021

Methods — techniques the papers use, named apart from their topics

simulation · 1.0MATLAB · 1.0
YearPublicationVenuePosition
2021 Model based evaluation of human and lower-limb exoskeleton interaction during sit to stand motion
abstract
The interaction between an exoskeleton and its human user is complex, and needs to conform to various requirements related to safety, comfort and adaptability. It is however impractical to test a large number of prototype variations against a large number of user variations, especially in the initial design and testing phases. Model based methods can help at this design stage by providing a virtual testbed. In this study, we develop a MATLAB-based toolbox that can simulate the interaction between a human model and a lower limb exoskeleton during the sit to stand motion. We present results for different scales of human users as well as variation in levels of exoskeleton assistance. Our results show that large reductions in human joint torques upto 57Nm are possible, while also transmitting large forces upto 300N to the human model. Additionally, by varying the human body sizes by 15% we found that the interaction forces also changed by as much as 29.2%. Therefore, careful consideration of the human user and its limitation should be made in the exoskeleton design and concept phases.
Joel Bottin-Noonan, Manish N. Sreenivasa
ICRA1